>> Such as?

> On July 29, one of our third party evaluation partners, Irregular, notified us of an incident involving OpenAI models during Capture-the-Flag (CTF)-style cybersecurity evaluations. [...] Because the testing environment was mistakenly connected to the internet, the model exploited a real website, mistaking it to be part of the simulated environment. This did not involve a sophisticated sandbox escape or a zero-day: the internet access resulted from a misconfiguration, and the model appeared to exploit a basic security vulnerability.

> Based on Irregular’s investigation, the model also found and used credentials to operate that same site. Irregular has not identified impact beyond the affected site’s own data, and its audit is ongoing. [0]

>> Because this particular case is not an "intrusion" [...]

What "particular case"? The message boards? If so, why is that not one? NIST seems to think so. [1] But regardless, the word "intrusion" doesn't matter, when models organise independently and without their lab noticing to orchestrate hacking a third-party, I don't care what you call it.

The lab not noticing such behaviour, especially after they had encountered it before, that's the issue. That's the opposite of "learning their lesson".

Since a few commenters from the US graciously gave me permission, for one day and one time, let me make a US political comment and draw a parallel between OpenAI "learning" from this and Trump learning a big lesson from his first impeachment as stated by Senator Susan Collins. A lesson that doesn't change behaviour is no lesson at all.

Also, I'll just say, there were multiple models. There was not one, some were post-train, other new pre-trains. IM1, a bit of 5.6-Sol, some Astra, all those we know of.

I've mentioned this elsewhere, but you cannot sift through all the training data and nail down the cause in this short a time window and you certainly can't restart a pre-train run, should the issue not be solvable purely via post and even if you can, you cannot seriously state that you are confident in the new models output given this track record and time frame.

Not to mention, OpenAI said about Astra [2]:

> GPT-6 Astra’s monitorability has decreased relative to GPT-5.6 Sol. We have found that GPT-6 Astra is more capable of controlling its own CoT than GPT 5.6-Sol, and less likely to include incriminating information in its CoT.

> In adversarial settings (where we push the model to evade our monitors) we find that the model is able to remain undetected when strategically underperforming in evaluations (sandbagging) and can sometimes evade our internal monitors when asked to perform certain sabotage tasks.

Having read the GPT-6 Astra System Card along with their recent track record, what makes you honestly think this is a model to be released? Your assertion, that they took one model down would be fair if it was only one model (it wasn't), if it was only once externally (it wasn't), if the hack was limited in scope (it wasn't), if they had taken sufficient time in between for a post mortem and to clear their training data (they couldn't) and/or if they at least didn't have the same happening after the Hugging Face and multiple message board incidents (they did).

My point is that OpenAI has a poor track record, build up over the last few months (post Mythos announcement, speculation but maybe they are pushing a bit too fast), had models access the internet in internal and third-party run but OpenAI sanctioned evals multiple times despite sandboxing and had these model organise both communications channels and large scale hacks more than once. They even, after one of these incidents, didn't properly clean up the training data and thus trained the next batch with exactly such behaviour. That is the company that suddenly has learned their lesson, you think?!

Where is this confidence in their ability coming from, given history, given facts, given reality? I am genuinely asking, maybe I missed some action they've taken that changes everything.

[0] https://openai.com/index/third-party-cyber-evaluations-invol...

[1] https://csrc.nist.gov/glossary/term/intrusion

[2] https://deploymentsafety.openai.com/gpt-6-astra